Closed CAI23sbP closed 1 month ago
Hi! As far I see, the MultiStepWrapper allows for the applications of $T_a$ actions. In this part of the code, they iterate over the list of actions (which is $T_a$ long), which is what is returned from the predict_action from Diffusion Policy:
def step(self, action):
"""
actions: (n_action_steps,) + action_shape
"""
for act in action:
if len(self.done) > 0 and self.done[-1]:
...
Hope this helps!
Oh i see. Thank you! @sigmundhh .
How are you @cheng-chi ?
I read your paper and code. But i didn't understand about MultiStepWrapper. It only worked in Evaluation stage, Could you explain why?